Triple
T19159918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Noble |
E469024
|
entity |
| Predicate | totalAppearancesForWestHam |
P13108
|
FINISHED |
| Object | >=500 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: >=500 | Statement: [Mark Noble, totalAppearancesForWestHam, >=500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalAppearancesForWestHam Context triple: [Mark Noble, totalAppearancesForWestHam, >=500]
-
A.
leagueAppearances
Indicates the number of times an entity has participated in official league matches or competitions.
-
B.
clubAppearances
chosen
Indicates the number of official matches a player has played for a particular club.
-
C.
sportNumberOfAppearances
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
-
D.
WBCAppearances
Indicates the number of times an entity has participated in or appeared in Women's British Colleges Association (WBCA) events or competitions.
-
E.
numberOfEnglandCaps
Indicates the number of times an entity has represented England in official international appearances (caps).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebc52dc819085666dbbeea365a6 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.